DocumentCode
3503468
Title
Comparing commodity SMP system software with a matrix multiplication benchmark
Author
Tsilikas, Georgios ; Fleury, Martin
Author_Institution
Dept. of Electron. Syst. Eng., Essex Univ., UK
fYear
2006
fDate
15-17 Feb. 2006
Abstract
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications in SMP clusters. Dense matrix multiplication is a suitable benchmark as it exposes memory access issues. Various block-based algorithms are compared across Windows 2000 and Linux variants with gcc compiler versions. Differences in compilers may explain differential performance between algorithms.
Keywords
benchmark testing; matrix multiplication; multiprocessing programs; commodity SMP system software; dense matrix multiplication; matrix multiplication benchmark; symmetric multiprocessors; transaction processing; Approximation algorithms; Clustering algorithms; Kernel; Linux; Numerical analysis; Operating systems; Software libraries; Symmetric matrices; System software; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel, Distributed, and Network-Based Processing, 2006. PDP 2006. 14th Euromicro International Conference on
ISSN
1066-6192
Print_ISBN
0-7695-2513-X
Type
conf
DOI
10.1109/PDP.2006.26
Filename
1613267
Link To Document